Data Acquisition, Hot Issues and System of Microblog Mining

As an important social information interchange platform, microblogging has accumulated a large amount of immediacy, rich semantics, and various forms of user generated content (UGC). How to efficiently and accurately discover useful knowledge from the UGC is what microblog mining focuses on. This article introduce two methods for acquiring microblog data: microblogging open application program interface (API) and web crawler. The hot issues are classified into two categories: microblog user analysis (e.g., user classification and user´s behavior analysis) and microblog content analysis (e.g., text preprocessing, hot topic discovering and sentiment analysis); finally, we propose our self-developed microblog mining system: Reading-Weibo, which provides real-time, interaction, dynamic and multidimensional service.